A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi, Ex...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 57/100. no security policy. 47 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
GPT
Fastest way to find out if mcp-omnisearch belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/spences10/mcp-omnisearch ~/.claude/commands/mcp-omnisearchRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/commands/mcp-omnisearchNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ │ └─ mcp-omnisearch/ ← installs here ├─ agents/ └─ settings.json
A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi, Exa), AI tools (Kagi FastGPT, Exa, Linkup), and content extraction services (Firecrawl, Tavily, Kagi). Includes GitHub search. All through a single interface.
Source: GitHub repository
Source check: August 16, 2026
Upstream commit: August 16, 2026
Repository state: Not marked archived
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